Divyansh Kaushik
8 papers · 2018–2022 · 6 conferences · across top CS/AI conferences
Achievements
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π Cross-Pollinator (15) π Conference Polyglot (6) π§ Keyword Pioneer π£ Hot Topic Early Bird π Interdisciplinary Bridge
πΊοΈ
Taxonomy Completionist
(14)
π₯
Unstoppable
(5)
β
The Questioner
Conferences
EMNLP (2)
ICLR (2)
ACL (1)
ICML (1)
IJCNLP (1)
NAACL (1)
Top co-authors
Keywords
out-of-domain evaluation
(3)
question answering
(3)
adversarial data collection
(2)
few-shot learning
(1)
domain adaptation
(1)
sentiment analysis
(1)
model robustness
(1)
dataset creation
(1)
reading comprehension
(1)
distribution shift
(1)
label shift
(1)
spurious correlation
(1)
distribution alignment
(1)
feature feedback
(1)
counterfactual augmentation
(1)
model assessment
(1)
human-in-the-loop annotation
(1)
baseline model
(1)
model brittleness
(1)
dataset robustness
(1)
Papers
Practical Benefits of Feature Feedback Under Distribution Shift
EMNLP 2022
Dynabench: Rethinking Benchmarking in NLP
NAACL 2021
Explaining the Efficacy of Counterfactually Augmented Data
ICLR 2021
On the Efficacy of Adversarial Data Collection for Question Answering: Results from a Large-Scale Randomized Study
IJCNLP 2021
On the Efficacy of Adversarial Data Collection for Question Answering: Results from a Large-Scale Randomized Study
ACL 2021
Learning The Difference That Makes A Difference With Counterfactually-Augmented Data
ICLR 2020
Domain Adaptation with Asymmetrically-Relaxed Distribution Alignment
ICML 2019
How Much Reading Does Reading Comprehension Require? A Critical Investigation of Popular Benchmarks
EMNLP 2018